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Hello 👋

I love to play with data. I have strong background in the field of Statistics and Mathematics. Currently, I'm doing my second masters in Actuarial and Financial mathematics and I have valuable experience on Data Visualisation and Manipulations, Creating Databases, Data Cleaning, Analysis and Report Writing.

Contact me on Facebook, Twitter, Linkedin, or Send an Email


KEY TECHNICAL SKILLS:

  • Programming Languages: R-Programming Language, Python, SQL
  • Library: math, numpy, pandas, Scipy, Matplotlib.pyplot, random, sympy, sys, timeit, Seaborn
  • Web Development Technologies: HTML, CSS, JavaScript, TypeScript
  • Applications: Anaconda, Jupyter Notebook, R-Studio, Git, Latex, MS Office, MS Excel
  • DBMS: PostgreSQL

Languages:

  • Bangla : Native
  • English : Advanced
  • German : Basic

Programming Certificates:


Latest YouTube Videos


Sports / Game / Activities / Hobby:

  • ✍️ Writing, 📚 Reading Books
  • 🏏 Cricket, 🏸 Badminton
  • 🏃‍♂️ Running, 🚶‍♂️ Walking
  • ✈️ Travelling

Connect with me:

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kamrul69's Projects

books icon books

"Today a reader, tomorrow a leader." - Margaret Fuller

claim_frequency icon claim_frequency

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

data-analysis-project icon data-analysis-project

A project that tests your data analysis skillset and good use of Python Programming Language

datascience_r_codes icon datascience_r_codes

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

datasets icon datasets

A collection of datasets of ML problem solving

kamrul69 icon kamrul69

Hello 👋 I love to play with data. I have strong background in the field of Statistics and Mathematics. Currently, I'm doing my masters in Actuarial and Financial mathematics and I have valuable experience on Data Visualisation and Manipulations, Creating Databases, Data Cleaning, Analysis and Report Writing.

life-expectancy-dataset-eda-modeling-python icon life-expectancy-dataset-eda-modeling-python

This project investigates how life expectancy is distributed between 2000 and 2015 worldwide. In particular, the objectives of this project were: How life expectancy is changing, and for which countries has changed most, between 2000-2015? Is life expectancy correlated to specific geographies?

machine-learning icon machine-learning

My book: Statistics - New Foundations, Toolbox, and Machine Learning Recipes.

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